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Using NSGA-III for optimising biomedical ontology alignment

CAAI Transactions on Intelligence technology 2019年第3期4卷 135页

作者： Xingsi Xue Jiawei Lu Junfeng Chen Fujian Key Laboratory for Automotive Electronics and Electric Drive Fujian University of Technology Fuzhou Fujian People's Republic of China Intelligent Information Processing Research Center Fujian University of Technology Fuzhou Fujian People's Republic of China College of IOT Engineering Hohai University Changzhou Jiangsu People's Republic of China

To support semantic inter‐operability between the biomedical information systems, it is necessary to determine the correspondences between the heterogeneous biomedical concepts, which is commonly known as biomedical ontology matching. Biomedical concepts are usually complex and ambiguous, which makes matching biomedical ontologies a challenge. Since none of the similarity measures can distinguish the heterogeneous biomedical concepts in any context independently, usually several similarity measures are applied together to determine the biomedical concepts mappings. However, the ignorance of the effects brought about by different biomedical concept mapping's preference on the similarity measures significantly reduces the alignment's quality. In this study, a non‐dominated sorting genetic algorithm (NSGA)‐III‐based biomedical ontology matching technique is proposed to effectively match the biomedical ontologies, which first utilises an ontology partitioning technique to transform the large‐scale biomedical ontology matching problem into several ontology segment‐matching problems, and then uses NSGA‐III to determine the optimal alignment without tuning the aggregating weights. The experiment is conducted on the anatomy track and large biomedic ontologies track which are provided by the Ontology Alignment Evaluation Initiative (OAEI), and the comparisons with OAEI's participants show the effectiveness of the authors' approach.

关键词： genetic algorithms medical computing ontologies (artificial intelligence) medical information systems similarity measures ontology partitioning technique large-scale biomedical ontology matching problem ontology segment-matching problems NSGA-III anatomy track Ontology Alignment Evaluation Initiative biomedical ontology alignment biomedical information systems heterogeneous biomedical concepts nondominated sorting genetic algorithm-III-based biomedical ontology matching biomedical concept mapping C1180 Optimisation techniques C6170K Knowledge engineering techniques C7140 Medical administration C7330 Biology and medical computing

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RESEARCH AND APPLICATION OF INTEGRAL SEPARATION PID CONTROL BASED ON FUZZY CONTROL IN intelligent CAR

RESEARCH AND APPLICATION OF INTEGRAL SEPARATION PID CONTROL ...

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2017 2nd World Symposium on Mechanical and Control Engineering（WSMCE 2017）

作者： Xiaolan Xie Xiaohua Tao Jili Chen College of Information Science and Engineering Guilin University of Technology Guangxi Universities Key Laboratory of Embedded Technology and Intelligent Information Processing (Guilin University of Technology)

The wheel-type robot has a high degree of nonlinearity in the process of intelligent tracking control in a closedloop environment. The speed and direction of the wheel-type robot need real-time control both in the straight path and the curved path. Therefore, the system uses the Integral Separation PID control algorithm to control the speed and fuzzy control to adjust the car's front direction. The integral PID control algorithm used in this paper not only guarantees the control accuracy of the system, but also avoids system shock caused by excessive overshoot as a result of external factors. At the same time, the system also has a faster response speed.

关键词： Integral Separation PID control algorithm fuzzy control intelligent Car

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The M-computations induced by accessibility relations in nonstandard models M of Hoare logic

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Frontiers of Computer Science 2016年第4期10卷 717-725页

作者： Cungen CAO Yuefei SUI Zaiyue ZHANG Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China Department of Computer Science Jiangsu University of Sciences and Technology Zhenjiang 212003 China

Hoare logic is a logic used as a way of specifying semantics of programming languages, which has been extended to be a separation logic to reason about mutable heap structure. In a model M of Hoare logic, each program α induces an M-computable function fα M on the universe of M; and the M-recursive functions are defined on M. It will be proved that the class of all the M-computable functions fα M induced by programs is equal to the class of all the M- recursive functions. Moreover, each M-recursive function is ∑ 1 NM -definable in M, where the universal quantifier is a num- ber quantifier ranging over the standard part of a nonstandard model M.

关键词： Hoare logic recursive ：Function computable function nonstandard model of Peano arithmetic

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Tracking the 3D position and orientation of flying swarms with learned kinematic pattern using LSTM network

Tracking the 3D position and orientation of flying swarms wi...

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2017 IEEE International Conference on Multimedia and Expo, ICME 2017

作者： Wang, Shuo Hong Su, Hai Feng Cheng, Xi En Liu, Ye Quo, Aike Chen, Yan Qiu School of Computer Science Shanghai Key Laboratory of Intelligent Information Processing Fudan University Shanghai China Institute of Neuroscience State Key Laboratory of Neuroscience CAS Center for Excellence in Brain Science and Intelligence Technology Shanghai Institutes for Biological Sciences CAS Shanghai China Jingdezhen Ceramic Institute Jindezhen China College of Automation Nanjing University of Posts and Telecommunications China

ISBN: (纸本)9781509060672

Accurately and reliably tracking the 3D position and orientation of individuals in large flying swarms is valuable not only for scientific researches but also practical applications. However, large quantity, frequent occlusions, similar appearance, tiny body size and abrupt motion make it remain an open problem. The 3D flying swarm tracking method proposed in this paper tracks both position and orientation of each individual in the swarm using the particle filter framework. Particles are scattered more pertinently by the dynamic model based on the learned kinematic pattern of a single target with a Long Short-Term Memory (LSTM) network. In addition, the observation model combines the Weighted Occupancy Ratio (WOR) and Temporal Appearance Coherency (TAC) cues in each view to improve the accuracy and robustness of the reconstructed body orientation. Experiments on both simulation and real-world data sets demonstrate the effectiveness and superiority of the proposed method. © 2017 IEEE.

关键词： Long short-term memory

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Multiple spacecraft formation flying control around Sun-Earth L2 libration point

Multiple spacecraft formation flying control around Sun-Eart...

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Youth Academic Annual Conference of Chinese Association of Automation (YAC)

作者： Yating Yin Teng Li Zhangpeng Lou Key Laboratory of Intelligent Computing & Signal Processing Anhui University Hefei China Department of Automation University of Science and Technology of China

ISBN: (纸本)9781538629024

Multiple spacecraft formation flying is an important concept for future deep-space exploration missions. It requires reliable techniques for the control of formation configuration. This paper addresses the control problem of spacecraft formation flying around the Sun-Earth L 2 libration point utilizing the framework of the circular restricted three-body problem (CR3BP). A leader/follower formation scheme consisting of one leader and three follower spacecraft is considered. The leader spacecraft is assumed to be in a fixed Halo orbit. The position of each follower spacecraft relative to the leader is controlled to be a constant using an active disturbance rejection control (ADRC) method. In this method, the unknown dynamics and external disturbances of the formation flying system are estimated by an extended state observer (ESO), and a nonlinear state error feedback control law is used to compensate for them in real time. Perturbative forces due to solar radiation pressure and the eccentric nature of the Earth's orbit are modeled as external disturbances. Numerical simulations and comparisons with an existing method show that desired formations are obtained with high accuracy using the proposed ADRC method.

关键词： Space vehicles Orbits Earth Mathematical model Dynamics Nonlinear dynamical systems Real-time systems

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Coarse-to-Fine Learning for Single-Image Super-Resolution

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IEEE Transactions on Neural Networks and Learning Systems 2017年第5期28卷 1109-1122页

作者： Zhang, Kaibing Tao, Dacheng Gao, Xinbo Li, Xuelong Li, Jie School of Computer and Information Science Hubei Engineering University Xiaogan Hubei432000 China Centre for Quantum Computation and Intelligent Systems Faculty of Engineering and Information Technology University of Technology Sydney 81 Broadway Street UltimoNSW2007 Australia State Key Laboratory of Integrated Services Networks School of Electronic Engineering Xidian University Xi'an Shaanxi710071 China State Key Laboratory of Transient Optics and Photonics Xi'An Institute of Optics and Precision Mechanics Chinese Academy of Sciences Xi'an Shaanxi710119 China Video and Image Processing System Laboratory School of Electronic Engineering Xidian University Xi'an Shaanxi710071 China

This paper develops a coarse-to-fine framework for single-image super-resolution (SR) reconstruction. The coarse-to-fine approach achieves high-quality SR recovery based on the complementary properties of both example learning-and reconstruction-based algorithms: example learning-based SR approaches are useful for generating plausible details from external exemplars but poor at suppressing aliasing artifacts, while reconstruction-based SR methods are propitious for preserving sharp edges yet fail to generate fine details. In the coarse stage of the method, we use a set of simple yet effective mapping functions, learned via correlative neighbor regression of grouped low-resolution (LR) to high-resolution (HR) dictionary atoms, to synthesize an initial SR estimate with particularly low computational cost. In the fine stage, we devise an effective regularization term that seamlessly integrates the properties of local structural regularity, nonlocal self-similarity, and collaborative representation over relevant atoms in a learned HR dictionary, to further improve the visual quality of the initial SR estimation obtained in the coarse stage. The experimental results indicate that our method outperforms other state-of-the-art methods for producing high-quality images despite that both the initial SR estimation and the followed enhancement are cheap to implement. © 2012 IEEE.

关键词： Optical resolving power

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Research on Tibetan-Chinese Cross-language Information Retrieval System Base on E-commerce Platform

Research on Tibetan-Chinese Cross-language Information Retri...

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The 2nd International Conference on Automatic Control and Information Engineering(ICACIE 2017）

作者： Fucheng Wan Lin Zhu Key Laboratory of National Language Intelligent Processing Northwest University for Nationalities Department of Computer Science Guangdong University of Science & Technology

ISBN: (纸本)9781510849563

Based on the research of the information retrieval system of Tibetan and Chinese, this paper uses the bilingual dictionary and query extension method to extend the semantic aspect of the query word, and establishes the document Index model. The test system is built on the basis of this model, and the results of recall and precision are achieved.

关键词： e-commerce information retrieval Tibetan cross-language

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Second-Order Controllability of Multi-Agent Systems with Multiple Leaders

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Communications in Theoretical Physics 2016年第5期65卷 585-592页

作者：刘波史运涛苏厚胜韩潇 College of Science North China University of Technology Key Laboratory of Beijing for Field-Bus Technology & Automation North China University of Technology School of Automation Key Laboratory of Image Processing and Intelligent Control of Education Ministry of ChinaHuazhong University of Science and Technology

This paper proposes a new second-order continuous-time multi-agent model and analyzes the controllability of second-order multi-agent system with multiple leaders based on the asymmetric *** paper considers the more general case:velocity coupling topology is different from location coupling *** sufficient and necessary conditions are presented for the controllability of the system with multiple *** addition,the paper studies the controllability of the system with velocity damping *** results are given to illustrate the correctness of theoretical results.

关键词： controllability second-order multi-agent systems multiple leaders asymmetric topology

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A deep learning-based remaining useful life prediction approach for bearings

arXiv

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arXiv 2018年

作者： Cheng, Cheng Ma, Guijun Zhang, Yong Sun, Mingyang Teng, Fei Ding, Han Yuan, Ye The Key Laboratory of Image Processing and Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China The State Key Laboratory of Digital Manufacturing Equipment and Technology Huazhong University of Science and Technology Wuhan430074 China The School of Mechanical Science and Engineering Huazhong University of Science and Technology Wuhan430074 China School of Information Science and Engineering Wuhan University of Science and Technology Wuhan430081 China The College of Control Science and Engineering Zhejiang University Hangzhou310007 China The Department of Electrical & Electronic Engineering Imperial College London LondonSW7 2AZ United Kingdom

In industrial applications, nearly half the failures of motors are caused by the degradation of rolling element bearings (REBs). Therefore, accurately estimating the remaining useful life (RUL) for REBs is of crucial importance to ensure the reliability and safety of mechanical systems. To tackle this challenge, model-based approaches are limited by the complexity of mathematical modeling. Conventional data-driven approaches, on the other hand, require massive efforts to extract the degradation features and construct the health index. In this paper, a novel data-driven framework is proposed to exploit the adoption of deep convolutional neural networks (CNN) in predicting the RULs of bearings. More concretely, raw vibrations of training bearings are first processed using the Hilbert-Huang transform to construct a novel nonlinear degradation energy indicator which can be used as the training label. The CNN is then employed to identify the hidden pattern between the extracted degradation energy indicator and the raw vibrations of training bearings, which makes it possible to estimate the degradation of the test bearings automatically. Finally, testing bearings’ RULs are predicted through using a ǫ-support vector regression model. The superior performance of the proposed RUL estimation framework, compared with the state-of-the-art approaches, is demonstrated through the experimental results. The generality of the proposed CNN model is also validated by performance test on other bearings undergoing different operating conditions. Copyright © 2018, The Authors. All rights reserved.

关键词： Hilbert-Huang transform

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Experimental Combined Grouping Analysis Approach for Robust Battery pack design for Electric Vehicles with Higher Performance

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IOP Conference Series: Earth and Environmental Science 2019年第1期268卷

作者： Liu Yun Li Shui Liang Gao Zhun Fan C. Ruhatiya Chin-Tsan Wang Akhil Garg Intelligent Manufacturing Key Laboratory of Ministry of Education Shantou University Guangdong China State Key Lab of Digital Manufacturing Equipment & Technology School of Mechanical Science and Engineering Huazhong University of Science and Technology Wuhan China Guangdong Provincial Key Laboratory of Digital Signal and Image Processing College of Engineering Shantou University Shantou 515063 China School of Engineering Sciences Mahindra École Centrale Hyderabad Telangana 500043 India Department of Mechanical and Electro-Mechanical Engineering National I Lan University ILan Taiwan

Battery consistency is an important factor for battery pack performance. Excellent battery consistency can make battery packs more energy efficient and electric vehicles can have longer mileage and higher safety. Thus, in this study a comprehensive intelligent clustering methodology for the design of Li-ion battery pack on the basis of uniformity and equalization criteria of the cell was proposed. Firstly, multiple parameters (capacity, voltage, temperature and resistance) test of single cell performance was performed. Secondly, a clustering method combine with self-organizing map neural network (SOM) was proposed. Furthermore, a validation experiment (pack level) was carried out to verify the accuracy of proposed clustering algorithm. It can be concluded that the battery pack formed from SOM sorting results perform better than the battery pack having random cells combination as well as the pack originally purchased from the manufacturer.

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